Latent variable models

People

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Laura Anderlucci

Associate Professor

keywords: Mixture models, Classification and clustering, Multivariate statistics, Textual data analysis, Random projections
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Marco Berrettini

Junior assistant professor (fixed-term)

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Silvia Bianconcini

Associate Professor

keywords: Latent variable models, Structural equation models, Longitudinal data analysis, Non parametric trend-cycle estimators,
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Anna Gloria Billè

Senior assistant professor (fixed-term)

keywords: Spatial Econometrics, Limited Dependent Variables, Dynamic Spatial Panel Data Models, Computational Statistics,
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Luca Bungaro

Research fellow

Teaching tutor

keywords: Item response theory, Computerized adaptive testing, Latent variables models
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Silvia Cagnone

Full Professor

keywords: Latent variable models, Generalized linear latent variable models, Structural equation models

Alessandro Lubisco

Assistant professor

keywords: Latent variable models, Panel and pseudo panel data, Longitudinal data analysis, Customer satisfaction, Match analysis,
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Mariagiulia Matteucci

Associate Professor

keywords: item response theory, educational assessment, computerized adaptive testing, MCMC estimation of IRT models, test
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Stefania Mignani

Full Professor

keywords: Latent variable models, Estimation problems in IRT models, Ability evaluation, Teachingstatistics, Data Literacy
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Angela Montanari

Full Professor

keywords: latent variable models, covariance estimation, robust methods, mixture models, supervised classification, unsupervised
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Gabriele Soffritti

Full Professor

keywords: cluster analysis, finite mixture model, latent variable model, regression trees
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Simone Tiberi

Senior assistant professor (fixed-term)

keywords: Bayesian hierarchical models, Missing data and latent variables, MCMC, Hidden Markov model, Stochastic models and
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Massimo Ventrucci

Associate Professor

keywords: Bayesian Hierarchical modelling, Generalized Linear Mixed models, Bayesian Penalized Spline regression, Spatial
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Cinzia Viroli

Full Professor

keywords: Latent Variable Models, Multivariate Analysis, Mixture models, Supervised and Unsupervised Classification, Textual Data